Key skills
Product ManagementData PlatformsDatabasesCloud InfrastructureManaged DatabasesData WarehousesData LakesGovernance PlatformsRelational DatabasesDistributed DatabasesPostgreSQLMySQLSingleStoreSnowflakeBigQueryKafkaChange Data Capture (CDC)ETLELTLakehouse ArchitecturesReal-time Data SharingData SecurityEncryptionIdentity and Access Management (IAM)Role-Based Access Control (RBAC)Data MaskingNetwork IsolationComplianceAPI-first Platform DesignAWSAzureGoogle Cloud Platform (GCP)Amazon RDSAmazon AuroraCosmos DBHybrid Cloud ArchitecturesMulti-cloud ArchitecturesData ReplicationAI/ML Data ProductsFeature StoresVector SearchReal-time AnalyticsServing Pipelines for Large Language Models (LLM)AIMLLLMAnalyticsGCPRDSIAMSaaSLeadershipCommunication
About this role
CoreWeave is The Essential Cloud for AI™, delivering a platform that enables innovators to build and scale AI with confidence. As a Staff Product Manager for Data Services, you will own the strategy and execution for the data services portfolio, ensuring secure and reliable data solutions that support AI workloads.
Responsibilities:
- Own the end-to-end strategy, roadmap, and execution for CoreWeave's data services portfolio: databases, data lakes, streaming, metadata and catalog, and data sharing and integration
- Shape a multi-year vision for how our data services underpin AI and GPU workloads, then lead delivery from 0 to 1 and 1 to N
- Work directly with strategic customers and partners, collaborating closely with engineering and GTM, evaluating emerging data technologies, and ensuring our services are secure, reliable, and easy to adopt
- Balance near-term delivery with long-term bets in product strategy and roadmap across the data services portfolio
- Dive deep into data architectures, co-design solutions, and support large-scale deployments with customers and partners
- Drive clarity and execution in a fast-moving environment through cross-functional alignment with engineering, GTM, and leadership
- Surface opportunities, validate priorities, and keep us ahead of the curve through market and competitive analysis
- Partner with architects on service designs, SLAs, and operational excellence with an API-first platform thinking
Requirements:
- 8+ years of product management experience in data platforms, databases, analytics, or cloud infrastructure, with at least 3-4 years focused on data services (managed databases, streaming, data warehouses, data lakes, or governance platforms)
- Technical fluency in: Relational and/or distributed databases (e.g., PostgreSQL, MySQL, SingleStore, Snowflake, BigQuery)
- Technical fluency in: Streaming and pipelines (e.g., Kafka, CDC, ETL/ELT, lakehouse architectures, real-time data sharing)
- Technical fluency in: Data security and governance (encryption, IAM/RBAC, data masking, network isolation, compliance)
- A track record of owning complex, API-first platform products from concept through multiple release cycles
- Strong communication skills - able to create clarity from ambiguity, influence without authority, and translate technical depth for any audience
- Comfort operating in a fast-paced, high-growth environment where the answer isn't always obvious
- Staff or Director-level PM experience at a database vendor, cloud provider, or high-growth infrastructure company
- Hands-on experience with managed data services on AWS, Azure, or GCP (e.g., RDS, Aurora, Cosmos DB, BigQuery)
- Background in hybrid or multi-cloud architectures: connectivity, data locality, replication
- Experience with AI/ML data products: feature stores, vector search, real-time analytics, or serving pipelines for LLM workloads
- Familiarity with SaaS/PaaS packaging and usage-based or tiered pricing models
- Prior engineering or architecture experience on data or distributed systems